Multiple Correspondence Analysis
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Table des matières
About the Authors
vii
Series Editor's Introduction
viii
Acknowledgements
x
Chapter 1. Introduction
1
1.1 MCA as a Geometric Method
1
1.2 Historical Landmarks
2
1.3 Bourdieu and Statistical Data Analysis
4
1.4 The Taste Example
5
1.5 Methodological Points
10
1.6 Organization of the Monograph
12
Chapter 2. The geometry of a Cloud of Points
14
2.1 Basic Geometric Notions
14
2.2 Cloud of Points
16
2.3 Subclouds and Partitions of a Cloud
20
2.4 Contributions
22
2.5 Principal Axes of a Cloud
24
2.6 From Two-Dimensional to Hogher-Dimensional Clouds
30
2.7 Computation Formulas for a weighted
      Cloud in a Plane
32
Chaper 3. The Method of Multiple Correspondence Analysis
34
3.1 Principles of MCA
34
3.2 MCA of the Taste Example
46
3.3 Two Variants of MCA
61
Chapter 4. Structures Data Analysis
68
4.1 From Supplementary Variables to Structuring Factors
68
4.2 From Experimental to Observational Data
69
4.3 Concentration Ellipses
69
4.4 Taste Example: Study of Gender and Age
71
Chapter 5. Inductive Data Analysis
81
  5.1 Typicality Tests
82
  5.2 Homogeneity Tests
85
  5.3 Confidence Ellipses
89
Chapter 6. Full-Scale TResearch Studies
91
  6.1 The Field of Püblishers in France
91
  6.2 The Norwegian Fiel of Power
97
Appendix
103
References
110
Index
113
 
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